KLASIFIKASI SURAT DIGITAL MENGGUNAKAN ALGORITMA MACHINE LEARNING
نویسندگان
چکیده
Penelitian ini mengimplementasikan algoritm algoritma naive bayes dalam proses klasifikasi surat dan untuk membangun sistem yang dapat mengklasifikasi secara. Dalam penelitian jumlah sampel data corpus 1036 record, dibagi 80% training 20% testing. Sampel Naïve Bayes di implementasikan dengan menghitung nilai bobot dari class tertinggi berdasarkan testing sehingga menghasilkan probabilitas tertinggi. Hasil pengolahan mendapatkan Correctly Classified Instance sebesar 86.245799% Incoreectly 13.754200% serta hasil pengujian menggunakan confusion matrix precision 86%, Recall 86 % Akurasi 76%.
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ژورنال
عنوان ژورنال: Jurnal IT: Media Informasi STMIK Handayani Makassar
سال: 2023
ISSN: ['2087-6505', '2550-0511']
DOI: https://doi.org/10.37639/jti.v13i2.350